Software Engineer - Europe
Location
Bulgaria
Posted
71 days ago
Salary
0
Seniority
Mid Level
Job Description
Software Engineer - Europe
Deep Infra Inc.
DeepInfra is looking for strong Software Engineers to join our team. You’ll work on designing, building, and scaling infrastructure for serving top open-source AI models in production. This role is ideal for engineers who are already comfortable owning problems end-to-end and want to deepen their experience working on high-impact AI systems. If you’re excited about AI/ML and are looking to work on real systems at scale — we’d love to meet you. What You’ll Do - Design, develop, and test inference solutions for state-of-the-art AI models - Implement, optimize, and evaluate AI models using Python, C++, CUDA, and NCCL - Own and operate production model-serving systems, including monitoring and debugging - Build new features, improve system performance, and contribute to overall system design - Participate in code reviews and technical discussions to maintain high engineering standards - Explore and apply new AI/ML techniques to improve model performance and efficiency - Take ideas from concept to production What You Bring - Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related field - 3+ years of relevant experience - Strong fundamentals in data structures, algorithms, and software design - Proficiency in Python and experience working with AI/ML frameworks (e.g., PyTorch, TensorFlow) - Hands-on experience building, shipping, and maintaining software systems - Familiarity with AI models, Transformers, and Diffusers - Experience working with version control (Git) and collaborative development workflows - Ability to debug, optimize, and improve existing systems - Strong communication skills and ability to work independently in a fast-paced environment Bonus - Experience with C++, CUDA, or AI inference - Contributions to open-source ML projects Why DeepInfra - Work on cutting-edge AI model serving - the systems that power the next generation of LLMs and multimodal models. - Small team, huge impact: your work ships directly to customers. - Opportunity to learn from engineers building high-performance inference at scale. - Fast-paced environment with ownership, autonomy, and end-to-end responsibility.
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